dataquieR 2: An updated R package for FAIR data quality assessments in observational studies and electronic health record data-Reference-Cited by-同舟云学术

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dataquieR 2: An updated R package for FAIR data quality assessments in observational studies and electronic health record data

Published:2024-06-28 Issue:98 Volume:9 Page:6581
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Struckmann Stephan^ORCID,Mariño Joany^ORCID,Kasbohm Elisa^ORCID,Salogni Elena^ORCID,Schmidt Carsten Oliver^ORCID

Publisher

The Open Journal

Link

https://joss.theoj.org/papers/10.21105/joss.06581.pdf

Reference70 articles.

1. A unifying framework for parallel and distributed processing in R using futures;Bengtsson;The R Journal,2021

2. A survey of data quality measurement and monitoring tools;Ehrlinger;Front Big Data,2022

3. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support;Harris;Journal of Biomedical Informatics,2009

4. A contemporary conceptual framework for initial data analysis;Huebner;Observational Studies,2018

5. A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data;Kahn;EGEMS (Wash DC),2016

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